Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe2O3 photocatalyst
Batch reactors; Biodegradation; Crude oil; II-VI semiconductors; Irradiation; Network architecture; Network layers; Organic pollutants; Oxide minerals; Phenols; Photodegradation; Sol-gel process; Sol-gels; Sports; Water pollution; Water treatment; Zinc oxide; Bayesian regularization; Coefficient of...
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Physics Publishing
2023
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| Summary: | Batch reactors; Biodegradation; Crude oil; II-VI semiconductors; Irradiation; Network architecture; Network layers; Organic pollutants; Oxide minerals; Phenols; Photodegradation; Sol-gel process; Sol-gels; Sports; Water pollution; Water treatment; Zinc oxide; Bayesian regularization; Coefficient of determination; Effective performance; Multi layer perceptron neural networks (MLPNN); Multi-layer perceptron neural networks; Non-linear relationships; Phenol concentration; Photo catalytic degradation; Multilayer neural networks |
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